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© 2017

Intelligence Systems in Environmental Management: Theory and Applications

  • Cengiz Kahraman
  • İrem Uçal   Sari
  • Uses recently developed intelligent techniques such as genetic algorithms, neural networks, ant colony optimization, swarm optimization, Tabu search, fuzzy sets etc.

  • Focuses on the latest developments and problems in sustainable and green environmental management, renewable energy resources and hybrid systems

  • Gathers recent research, studies and solutions

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 113)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Cengiz Kahraman, İrem Uçal Sarı
    Pages 1-18
  3. Waste Management

    1. Front Matter
      Pages 19-19
    2. Gülçin Büyüközkan, Fethullah Gocer
      Pages 21-40
    3. Ignasi Gómez-Sebastià, Luis Oliva-Felipe, Ulises Cortés, Marta Verdaguer, Manel Poch, Ignasi Rodríguez-Roda et al.
      Pages 67-90
    4. Selman Karagoz, Nezir Aydin, Erkan Isikli
      Pages 91-115
  4. Disaster Response Management

    1. Front Matter
      Pages 117-117
    2. Dorota Kuchta, Stanisław Stanek, Stanisław Drosio, Barbara Gładysz
      Pages 119-133
    3. Emre Akyuz, Esra Ilbahar, Selcuk Cebi, Metin Celik
      Pages 135-155
  5. Energy Management

    1. Front Matter
      Pages 157-157
    2. Veysel Çoban, Sezi Çevik Onar
      Pages 159-187
  6. Water Resources Management

  7. Sustainability

    1. Front Matter
      Pages 255-255
    2. Hazal Ünlüçay, Beyzanur Çayır Ervural, Bilal Ervural, Özgür Kabak
      Pages 257-289
  8. Environmental Economics

    1. Front Matter
      Pages 313-313

About this book

Introduction

This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.

 

Keywords

Intelligent Systems Environmental Management Genetic Algorithms Sustainability Waste Management

Editors and affiliations

  • Cengiz Kahraman
    • 1
  • İrem Uçal   Sari
    • 2
  1. 1.Fac. Management, Dept of Industrial EnggIstanbul Technical UniversityIstanbulTurkey
  2. 2.Magt Facu, Department of Industrial EngdIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • Book Title Intelligence Systems in Environmental Management: Theory and Applications
  • Editors Cengiz Kahraman
    İrem Uçal Sari
  • Series Title Intelligent Systems Reference Library
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI https://doi.org/10.1007/978-3-319-42993-9
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-42992-2
  • Softcover ISBN 978-3-319-82712-4
  • eBook ISBN 978-3-319-42993-9
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages XX, 468
  • Number of Illustrations 26 b/w illustrations, 63 illustrations in colour
  • Topics Computational Intelligence
    Environmental Management
    Renewable and Green Energy
    Artificial Intelligence
  • Buy this book on publisher's site
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